Pracodawca zakończył zbieranie zgłoszeń na tę ofertę

Financial Crime Analytics (Data Scientist)


  • Wrocław, dolnośląskie

  • ogłoszenie wygasło rok temu
  • Umowa o pracę
  • Specjalista (Mid / Regular)

For our client who is a leading global analytical services provider focused on advanced research and analytical services for the world's best financial institutions, including leading investment banks and asset management companies, we are looking for a Financial Crime Analytics (Data Scientist). 

Financial Crime Analytics (Data Scientist)

Job Description

  • Develop, maintain, and enhance quantitative models associated with our anomalous market activity detection and monitoring platform 
  • Create tools to allow analysts to understand alerted activity in-depth 
  • Refine business requirements and develop programming specifications
  • Work in partnership with stakeholders to develop and drive initiatives that transform and modernize the capabilities and services of monitoring within the compliance function
  • Assess current and future state of surveillance, platform, policies, and procedures to promote continuous improvement

Job Requirements

  • Min. 2 years data analysis/model development experience using
    R, Python / PySpark
  • Very strong experience in application development using technologies
    like Python, Spark, Hadoop, GitHub, Hdfs 
  • Hands-on experience in data mining/analytics 
  • Experience in Big Data products like Cassandra, Cloudera.
  • Programming experience using SQL/Oracle/Sybase/Hive or any relational
    databases/Big Data
  • Strong knowledge of AML transaction monitoring with at least 2 years of relevant experience in financial crime analytics (additional exposure to customer segmentation, scenario testing, and validation)
  • Rich experience in threshold tuning & optimization is a must. 
  • Well-versed with threshold tuning methodologies & implementation. Exposure to ATL/BTL
  • Knowledge of AML or fraud analytics with at least 2-3 years of relevant experience in financial crime analytics
  • M.S. in Statistics, Computer Science or a related quantitative discipline
  • Excellent verbal and written English communication skills

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